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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "84110e61",
"metadata": {},
"outputs": [],
"source": [
"import torch\n",
"from data import LodopabDataset\n",
"from trainer import Trainer\n",
"from model import UNet"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "15aaa025",
"metadata": {},
"outputs": [],
"source": [
"# data locations\n",
"cache_files = {\n",
" 'train':\n",
" '//hpc.isc.pad.ptb.de/hipcl/daten841/kaspar01/lodopab-ct/fbp/cache_lodopab_train_fbp.npy',\n",
" 'validation':\n",
" '//hpc.isc.pad.ptb.de/hipcl/daten841/kaspar01/lodopab-ct/fbp/cache_lodopab_validation_fbp.npy',\n",
" 'test':\n",
" '//hpc.isc.pad.ptb.de/hipcl/daten841/kaspar01/lodopab-ct/fbp/cache_lodopab_test_fbp.npy'}\n",
"\n",
"ground_truth_data_loc = '//hpc.isc.pad.ptb.de/hipcl/daten841/kaspar01/lodopab-ct/'"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b12a5345",
"metadata": {},
"outputs": [],
"source": [
"# create Dataloaders\n",
"training_dataset = LodopabDataset(cache_files=cache_files,\n",
" ground_truth_data_loc=ground_truth_data_loc,\n",
" split='train')\n",
"\n",
"training_dataloader = torch.utils.data.DataLoader(dataset=training_dataset,\n",
" batch_size=16,\n",
" shuffle=True)\n",
"\n",
"validation_dataset = LodopabDataset(cache_files=cache_files,\n",
" ground_truth_data_loc=ground_truth_data_loc,\n",
" split='validation')\n",
"\n",
"validation_dataloader = torch.utils.data.DataLoader(dataset=validation_dataset,\n",
" batch_size=16,\n",
" shuffle=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ada1e3df",
"metadata": {},
"outputs": [],
"source": [
"# model defition\n",
"model = UNet()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "235cced9",
"metadata": {},
"outputs": [],
"source": [
"# training parameters\n",
"criterion = torch.nn.MSELoss()\n",
"optimizer = torch.optim.SGD(model.parameters(),\n",
" lr=0.01,\n",
" weight_decay=1e-8)\n",
"\n",
"# auto define the correct device\n",
"device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
"print(f\"Using {device} device.\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cadd871b",
"metadata": {},
"outputs": [],
"source": [
"# initiate Trainer\n",
"trainer = Trainer(model=model,\n",
" device=torch.device(device),\n",
" criterion=criterion,\n",
" optimizer=optimizer,\n",
" training_dataloader=training_dataloader,\n",
" validation_dataloader=validation_dataloader,\n",
" lr_scheduler=None,\n",
" epochs=2,\n",
" epoch=0,\n",
" notebook=False)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}